Abstract
This Paper investigates the combination of numerical and visual exploration techniques focused on cluster analysis of multi-dimensional data. We describe our newdeveloped visualization approaches and selected clustering techniques along with major concepts of the integration and parameterization of these methods. The resulting frameworks and its major features will be discussed.
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Kreuseler, M., Nocke, T., Schumann, H. (2003). Integration of Cluster Analysis and Visualization Techniques for Visual Data Analysis. In: Schwaiger, M., Opitz, O. (eds) Exploratory Data Analysis in Empirical Research. Studies in Classification, Data Analysis, and Knowledge Organization. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-55721-7_14
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DOI: https://doi.org/10.1007/978-3-642-55721-7_14
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-44183-0
Online ISBN: 978-3-642-55721-7
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